CAMELS Résumé de rapport

D4.1 Report on design of now casting carbon data assimilation system

Dual observation and modelling approach, based inversion of atmospheric observations and on the use of satellite data and ecosystem models.Bottom up integration using MOSES/JULES and Spatial DataTop down Methods based on the Inversion of Atmospheric ConcentrationsDual observation and modelling approach, based inversion of atmospheric observations and on the use of satellite data and ecosystem modelsls

Develop inverse models for the TEMS and the atmospheric transport model (ATM) use these within an offline Carbon Cycle Data Assimilation System (CCDAS), to adjust TEM parameters and prior flux estimates based on a 20-25 year simulation period.

Carry-out a prototype online CCDAS experiment to infer the European carbon balance from 1990 onwards.

Atmospheric CO2 data and remotely sensed biophysical parameters (WP1)Improved TEMs and parameters based on model validation (WP2)Initial carbon stores and model parameters based on 20th century land carbon balance (WP3).

P3).

FORWARD MODELLINGDual observation and modelling approach, based inversion of atmospheric observations and on the use of satellite data and ecosystem models.Bottom up integration using MOSES/JULES and Spatial DataTop down Methods based on the Inversion of Atmospheric ConcentrationsDual observation and modelling approach, based inversion of atmospheric observations and on the use of satellite data and ecosystem modelsls